Characterization of Hepatitis C Virus Quasispecies by Matrix-Assisted Laser Desorption Ionization-Time of Flight (Mass Spectrometry) Mutation Detection
Bibliographic record
Abstract
Hepatitis C virus (HCV), the causative agent of hepatitis C, frequently causes chronic infection. The mechanisms of viral persistence continue to be the object of investigation. An important aspect of HCV chronic infection is the quasispecies nature of the viral population, which has been particularly well documented in the hypervariable region 1 of the E2 glycoprotein. Recent studies show that characterization of the quasispecies diversity at the amino acid level can help to predict the outcome of HCV infection. Currently the accurate characterization of HCV quasispecies requires the cloning of PCR products, followed by the sequencing of many clones. In this study we present a new method to characterize HCV quasispecies, based on in vitro translation of the amplicons, followed by mass spectrometry analysis of the resulting peptide mix. The assay was used on reference HCV samples and on clinical samples. In principle, this method could be applied to other chronic viral infections in which quasispecies play a role.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".